Triple
T13986376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palo Cortado |
E336450
|
entity |
| Predicate | typicalCaskMaterial |
P78913
|
FINISHED |
| Object | American oak |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American oak | Statement: [Palo Cortado, typicalCaskMaterial, American oak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCaskMaterial Context triple: [Palo Cortado, typicalCaskMaterial, American oak]
-
A.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
B.
offersCaskFinishes
Indicates that an entity provides or makes available products or items that have undergone additional aging or finishing in specific casks.
-
C.
barrelType
chosen
Indicates the specific kind or category of barrel associated with or used in relation to an entity.
-
D.
oakAgingTypical
Indicates that it is typical or customary for something (such as a product, especially a beverage) to undergo aging in oak.
-
E.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.